We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for prediction.
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prediction Product List and Ranking from 39 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. AI CROSS Tokyo//Information and Communications
  2. null/null
  3. パトコア Tokyo//IT/Telecommunications
  4. 4 マグナ・インターナショナル・ジャパン マグナパワートレイン・ECS（Engieering Center Steyr） Tokyo//Automobiles and Transportation Equipment
  5. 5 スイスビットジャパン Tokyo//Electronic Components and Semiconductors
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prediction Product ranking

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

  1. LogP prediction, LogD prediction 'Partitioning' パトコア
  2. FEMFAT weld extension module: Fatigue life prediction of welded joints マグナ・インターナショナル・ジャパン マグナパワートレイン・ECS（Engieering Center Steyr）
  3. AI-based analysis result prediction Neural Concept Shape SCSK デジタルエンジニアリング事業本部
  4. 2024 Edition: Future Forecast of the Pachinko Industry
  5. 4 BIOVIA COSMOtherm - Prediction of molecular properties in solution

prediction Product List

61～90 item / All 93 items

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What is sales forecasting? An explanation of calculation methods, how to make forecasts, and ways to improve accuracy.

What is sales forecasting? An explanation of calculation methods, how to make forecasts, and ways to improve accuracy.

You will understand improvement measures to increase prediction accuracy and key points for successful operation.

"Sales forecasting" is a key factor that influences business success. By understanding its importance and using appropriate calculation methods, companies can achieve more efficient inventory management and optimize their resources. However, accurately forecasting sales is not easy. This article will provide a detailed explanation of the basic concepts of sales forecasting, how to choose calculation methods, and specific ways to improve accuracy. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI.

What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI.

You will learn how to improve order accuracy with demand forecasting and reduce unnecessary inventory costs.

Demand forecasting in inventory management is a crucial initiative that significantly affects a company's profitability and customer satisfaction. If demand cannot be accurately assessed, risks such as increased costs due to excess inventory and lost sales opportunities due to stockouts can arise. Conversely, effective demand forecasting can lead to inventory optimization, improved operational efficiency, and even increased sales. This article will clearly explain the basics of demand forecasting in inventory management, representative formulas and methods, as well as the latest initiatives utilizing AI. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

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FEMFAT weld extension module: Fatigue life prediction of welded joints

FEMFAT weld extension module: Fatigue life prediction of welded joints

Practical element division (shell elements) & evaluation method of SolidWELD

In the development of components that include welded structures, accurately predicting the fatigue life of weld joints has become essential. By utilizing FEMFAT weld, precise fatigue life predictions for weld joints can be achieved. FEMFAT weld offers various functions, including sensitivity analysis to identify critical welding shape parameters and evaluation options compliant with standards such as BS7608 and Eurocode 3. When calculating the fatigue life and safety factors of welded structures, the highly flexible analytical methods implemented in FEMFAT weld allow for simultaneous analysis of shell element models and solid element models. For the evaluation of weld root areas and weld termination points, detailed modeling of the fillet shape of the evaluation area can be performed, eliminating the need for extensive manual work. *For more details, please download the PDF or contact us.*

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  • Structural Analysis
  • prediction

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How to Create Sales Forecasts: Key Points for Utilizing Them in Sales Strategy Planning

How to Create Sales Forecasts: Key Points for Utilizing Them in Sales Strategy Planning

Introducing the importance of forecasting sales in business and methods for calculating it in a column!

In order to respond to the rapid changes in today's business environment, companies must constantly develop new strategic designs. This is also true for sales strategies, where accurately forecasting sales projections allows for an understanding of the current situation and the formulation of appropriate sales strategies. In this article, we will explain the data and forecasting methods necessary for predicting sales projections, as well as key points for utilizing them in the formulation of sales strategies. *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.

  • Technical and Reference Books
  • SFA/Sales Support System
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Solving the Future Doctor Shortage: Predicting Risks for Diabetes Patients

Solving the Future Doctor Shortage: Predicting Risks for Diabetes Patients

Predicting the risks for diabetes patients! Anyone can evaluate using "expert" knowledge, contributing to the solution of the future "doctor shortage."

We would like to introduce a case of risk prediction for diabetes patients using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. At the university, general staff members were responsible for extracting subjects for health guidance, which posed the risk of accountability issues due to incorrect risk assessments. After implementation, AI supported appropriate evaluations from limited information, enabling even those without expertise to make expert-level judgments. [Challenges] - General staff members conducted the extraction of subjects for health guidance. - There was a possibility of accountability issues arising from incorrect risk assessments. - The volume of data from experts was large, and the analysis itself was at a high level. *For more details, please refer to the PDF materials or feel free to contact us.

  • Other information systems
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Quality relevance and lifespan prediction utilizing data mining

Quality relevance and lifespan prediction utilizing data mining

Recommended technical proposal for customers considering the measurement of effects and quality improvement in predictive maintenance and equipment management! Utilizing large-scale data and machine learning as well!

This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination, which is always a concern when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that has a completion level of around 60 to 70 points, rather than aiming for a perfect score of 100 from the beginning, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.

  • Business Intelligence and Data Analysis
  • Workflow System
  • Other operation management software
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Reliability life prediction using Weibull analysis

Reliability life prediction using Weibull analysis

Free seminar ongoing! A clear introduction to Weibull analysis.

Weibull analysis is a method that uses the number of failures as input to determine the unreliability. Once the unreliability is known, the failure rate and unreliability can also be determined. Our company regularly holds free seminars on Weibull analysis. We provide clear explanations from the basics of reliability data analysis to an overview of Weibull analysis and representative methods. For more details, please check below. https://www.wavefrontsales.com/teikiseminar/weibull/

  • Other electronic parts
  • Other Auto Parts
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Effect of Deep Predictor Implementation: Prediction of Customer Visits

Effect of Deep Predictor Implementation: Prediction of Customer Visits

Forecast the number of customers considering weather and event information. Eliminate waste in shifts and inventory, and improve store profit margins.

One of the challenges that our no-code AI predictive analytics service "Deep Predictor" addresses is the "forecasting of customer foot traffic." By utilizing AI to collect data on past customer visits, weather information, holidays, and other external factors, we model historical patterns. This allows us to make accurate predictions of customer numbers that account for the complexity and variability of the data. Using AI to predict customer foot traffic enhances competitiveness in business and contributes to improved efficiency and customer satisfaction. 【Required Data】 ■ External Factors - Information on how external factors such as weather data, holiday calendars, and local event schedules impact customer numbers. ■ Competitor Information - Sales data and event information from nearby competitors. *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
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Yield prediction through sensor integration for agriculture.

Yield prediction through sensor integration for agriculture.

Support yield forecasting through the efficiency and stabilization of data collection!

In the agricultural sector, various factors such as climate change and soil conditions affect yield. Accurate yield forecasting is essential for timely harvesting and sales strategies. However, traditional data collection methods have been time-consuming and labor-intensive, with limitations in data accuracy. Our sensor integration solution centrally manages data from multiple sensors and efficiently collects the information needed for yield forecasting. 【Use Cases】 - Environmental monitoring of fields (temperature, humidity, sunlight, etc.) - Understanding soil conditions (moisture levels, fertilizer components, etc.) - Visualization of growth conditions 【Benefits of Implementation】 - Data-driven precision cultivation management - Maximization of harvest yield - Cost reduction

  • Company：IDIoT
  • Price：Other
  • Other Sensors
  • Sensors
  • prediction

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Latest Trends and Future Predictions of Generative AI in Manufacturing Industry <Demo Available>

Latest Trends and Future Predictions of Generative AI in Manufacturing Industry <Demo Available>

2024 Edition! An explanation of how generative AI is bringing innovation to the manufacturing industry.

Have you ever thought about how the manufacturing industry will change due to generative AI? Right now, various technological revolutions, including generative AI, are bringing significant changes to business around us. In particular, if we seek to improve the efficiency of manufacturing processes, reduce costs, and enhance quality, utilizing generative AI is an unavoidable path. We continue to explore solutions to the various challenges we face in our daily operations. This article will delve into the innovations that generative AI is bringing to the manufacturing industry and how it will change us in the coming years. *For more details about the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

  • Software (middle, driver, security, etc.)
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2023 Edition: Forecast of the Automotive Industry in 2040

2023 Edition: Forecast of the Automotive Industry in 2040

Changes in the environment surrounding the automotive industry and demand forecasts, globalization of the automotive industry, electrification, and forecasts for the spread of electric vehicles and technological trends.

The latest edition (2025 version) has been published! https://pr.mono.ipros.com/dri/product/detail/2001092777/ This research report summarizes the results of a survey conducted in collaboration with our company, universities, and professionals from research institutions regarding the changes in the automotive industry's environment leading up to 2040, forecasts for future demand for automobiles, globalization, the trend towards electronics, and the anticipated spread of electric vehicles and technological trends. 【Key Points】 ■ The environment surrounding the automotive industry ■ Demand forecasts for automobiles until 2040 ■ Directions and perspectives of car manufacturers and parts manufacturers towards 2040 ■ Future predictions for electric vehicles, plug-in hybrid vehicles, fuel cell vehicles, and other electrified vehicles ■ Technological trends centered on car electronics and autonomous driving systems ■ Trends in global strategic vehicles among various car manufacturers

  • Other Auto Parts
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2025 Edition: Forecast of the Automotive Industry in 2050

2025 Edition: Forecast of the Automotive Industry in 2050

Changes in the environment surrounding the automotive industry by 2050 and future demand forecasts for automobiles.

This research report summarizes the changes in the environment surrounding the automotive industry up to 2050, forecasts for future demand for automobiles, globalization of the automotive industry, the trend towards electronics, predictions for the proliferation of electric vehicles, and technological trends. It is based on research conducted by Sogo Giken Co., Ltd., a market research company specializing in the automotive sector, in collaboration with professionals from universities and research institutions. 【Research Items】 1. Environment surrounding the automotive industry 2. Current status and forecasts of automobile production numbers 3. Automotive markets in Japan, the United States, Europe, Asia, etc. 4. Current status and forecasts of Japan's automobile export numbers 5. Forecasts for the number of vehicles owned 6. Vehicle composition forecast for 2050 7. Forecasts for various equipment 8. Trends and developments of car manufacturers 9. Technological innovations 10. Materials 11. Trends in SDV (Software-Defined Vehicle) development 【Research Targets】 - General car manufacturers - Major automotive parts manufacturers - Major overseas manufacturers - Government agencies and related research institutions Report details: https://www.dri.co.jp/auto/report/sg/sgautoind.html

  • Other Auto Parts
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2025 Edition: Current Status and Future Predictions of Autonomous Driving Systems

2025 Edition: Current Status and Future Predictions of Autonomous Driving Systems

A research report summarizing market forecasts for self-driving systems, which will attract even more attention in the future, and the development trends of related companies.

The autonomous driving system refers to vehicles that can operate automatically without human driving, having developed as one of the Advanced Driver Assistance Systems (ADAS). Autonomous vehicles can recognize their surrounding environment using radar, LIDAR, GPS, and cameras, and can drive autonomously simply by specifying a destination. The commercialization and widespread adoption of autonomous vehicles are expected to lead to a reduction in accidents, decreased traffic congestion, and lower CO2 emissions. In the automotive industry, four key areas are attracting attention: autonomous driving, electrification, connectivity, and sharing (CASE), with autonomous driving considered the biggest wave likely to trigger a restructuring of the industry. 【Survey Items】 I. Global trends in the autonomous driving system market (passenger cars/commercial vehicles) II. Market trends for autonomous driving-related components III. Movements in related industries surrounding autonomous driving systems IV. Plans for market introduction of autonomous vehicles and development concepts V. Market trends for autonomous driving kits, modified vehicles, and robot taxis VI. Trends among domestic and international car manufacturers VII. Trends among companies developing autonomous driving kits VIII. Trends among domestic and international parts and semiconductor manufacturers Report details: https://www.dri.co.jp/auto/report/sg/sgautonomous.html

  • Other Auto Parts
  • others
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[English Research Report] 5-Year Forecast for Campus Ethernet Switches

[English Research Report] 5-Year Forecast for Campus Ethernet Switches

Provides a complete overview of Ethernet switches built and optimized for deployment outside of data centers.

The Dell’Oro Group's "Campus Ethernet Switch 5-Year Forecast Report" provides a comprehensive overview of the 5-year forecast and market trends for campus Ethernet switches. The forecast includes manufacturer revenue by technology, port shipment numbers, and average selling prices. By technology: Modular and fixed, by port speed (integrated/separate) Fixed managed/unmanaged: by port speed (integrated/separate) PoE (Power Over Ethernet) By port speed: 100 Mbps/1/2.5/5/10/25/40/50/100/200/400 Gbps Ethernet switch market - regional campus (manufacturer revenue only) North America, EMEA (Europe, Middle East, Africa), APAC (Asia-Pacific), APAC excluding China, China, CALA (Caribbean and Latin America)

  • others
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[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC

Providing market trends for non-NFV and NFV network functions, including revenue, licenses, average selling prices, and regional forecasts for various network functions.

The "Five-Year Forecast Report on Mobile Core Networks and Multi-Access Edge Computing" by the U.S. research firm Deloro Group investigates the mobile core network market and provides a comprehensive overview of market trends by the implementation of network functions (non-NFV and NFV), including revenue, licenses, average selling prices, and regional forecasts for various network functions. Target Market: - 4G/5G Packet Core Controllers - 4G/5G Packet Core Gateways - 4G/5G Policy - 4G/5G Subscriber Data Management - IMS Core By Region: Sales and Number of Shipment Licenses North America, EMEA, Asia-Pacific, China, CALA

  • others
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[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

[English Research Report] Predictions for Microwave Transmission and Mobile Backhaul

The mobile backhaul transmission market is expected to reach $24.5 billion in the next five years.

The "5-Year Forecast Report on Microwave Transmission and Mobile Backhaul" by Dell’Oro Group provides comprehensive and detailed information in a table covering manufacturers' revenues, wireless transceivers, and average selling prices. This report tracks front haul and mobile backhaul by cell type (macro and small cell) and technology (wireless and fiber/copper), and the microwave transmission section forecasts point-to-point TDM, packet, hybrid microwave, as well as complete indoor and complete outdoor unit configurations.

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Global Piston Ring Aftermarket - 2031 Forecast

Global Piston Ring Aftermarket - 2031 Forecast

It is predicted to grow from 2.5 billion dollars in 2024 to 3.7 billion dollars in 2031, with a compound annual growth rate (CAGR) of 5.8%.

Fairfield Market Research is a research company that publishes highly relevant market data and insightful detailed reports. The driving force behind the growth of the aftermarket is the increasing need for vehicle repair and maintenance due to vehicle aging and extended lifespans. Technological advancements in piston ring materials, such as ceramic composites and steel alloys, enhance durability and efficiency. A robust distribution network, including e-commerce platforms, ensures the global easy availability of aftermarket products and promotes market expansion. This report provides a detailed analysis of the global piston ring aftermarket. It analyzes the market by ring type, material, engine type, and region, and also discusses the strategies and challenges of key market players in detail.

  • Other Auto Parts
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One-button easy operation for category AI prediction! "Easy AI Development"

One-button easy operation for category AI prediction! "Easy AI Development"

With a simple one-button operation, category AI predictions such as customer analysis and failure prediction are possible!

By learning the causal relationships between various past conditions and outcomes, AI can simulate results under any conditions. This can be particularly useful in areas such as customer analysis and failure prediction. "Easy AI Development" 1. Develop a dedicated AI app for your company By developing based on AI app templates and focusing only on the necessary features, we achieve a low price by eliminating waste. We can also flexibly respond to system integration and feature expansion. 2. Propose optimal AI utilization methods AI experts will listen to your challenges and objectives, and propose the most suitable AI tools and business improvement plans. You can feel free to consult with us even if you don't have a specific utilization image in mind. 3. Clear cost structure and start at a low price We have a clear cost structure for each function, allowing for a small start from 100,000 yen. By gradually expanding functions according to usage, we can proceed with implementation while reducing risks. [Service Site] https://career-survival.com/kantan-ai/

  • Business Intelligence and Data Analysis
  • prediction

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[For Retail] AI Deason: Demand Forecasting

[For Retail] AI Deason: Demand Forecasting

Generate business ideas that are useful for demand forecasting from technological seeds.

In the retail industry, demand forecasting requires accurate data analysis and quick responses. Consumer purchasing behavior is diversifying, and various factors such as seasonality, events, and promotions influence demand. Considering these complex elements and making highly accurate forecasts leads to optimized inventory management, reduced opportunity loss, and improved customer satisfaction. AI Daison will create business ideas specialized in demand forecasting based on your company's technological seeds. 【Usage Scenarios】 - Building demand forecasting models that combine past sales data with external factors - Demand forecasting for new products - Demand forecasting for seasonal products 【Benefits of Implementation】 - Cost reduction through inventory optimization - Reduction of opportunity loss - Improvement in customer satisfaction

  • EAI/ETL/WEB application server
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[On-Demand Seminar] Introduction of AI Utilization Cases in the Conservation Field

[On-Demand Seminar] Introduction of AI Utilization Cases in the Conservation Field

We will introduce examples of fault prediction and accident prevention using AI utilized in the manufacturing industry!

●Overview and Objectives - Recently, the spread of COVID-19 has advanced work style reforms, and in the manufacturing industry, the promotion of DX (Digital Transformation), particularly the use of AI, continues to attract significant attention. To ensure that this does not end as just a buzzword and to fundamentally improve operational efficiency, it is essential to promote projects based on a deep understanding of company-specific challenges in addition to knowledge of AI. - In this course, we will introduce case studies of AI implementation in the manufacturing industry, presented by Cinnamon AI, which has a track record of AI adoption in this sector. We hope that by watching this, you will find hints to solve the challenges you face in your own environment.

  • Management Seminar
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End Market Analysis for Automotive Manufacturers

End Market Analysis for Automotive Manufacturers

Ecosystem forecasting and analysis! Detailed demand forecasts for semiconductors and sensors.

In the automotive industry, accurate demand forecasting is essential for product development, production planning, and supply chain management. In particular, the demand for semiconductors and sensors is closely linked to the evolution of automotive functions, making it crucial to understand these trends in order to establish a competitive advantage. TechInsights' End Market Analysis: Automotive provides forecasts and analyses of the automotive electronics-centered ecosystem, tracing back detailed demand for semiconductors and sensors to specific vehicle functions and market share data. This enables automotive manufacturers to accurately predict future demand and formulate appropriate strategies. 【Usage Scenarios】 - Demand forecasting for semiconductors and sensors - Demand forecasting by vehicle function - Market share analysis 【Benefits of Implementation】 - Understanding demand growth forecasts based on realistic data - Insight into trends that affect the automotive user experience - Support for competitive product development and strategic planning

  • Other services
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Trend Prediction AI

Trend Prediction AI

Market forecasting system! It will bring a new breeze to the financial sector.

Roboken Co., Ltd. is engaged in AI development inspired by neuroscience. The "Trend Prediction AI" brings a new breeze to the financial sector. We have devised a new feature extraction method called "optimization of mathematical models." This enables objective and logical predictions that do not rely on experience or skills. By changing predictions from regression problems to classification problems, we achieve highly accurate trend predictions in very challenging markets. 【Features】 ■ Enables objective and logical predictions that do not depend on experience or skills ■ Predicts the principal components that drive future price fluctuations ■ Achieves highly accurate trend predictions in very challenging markets *For more details, please refer to the PDF document or feel free to contact us.

  • Other core systems
  • Other information systems
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Fault prediction using AI-FTA for power generation.

Fault prediction using AI-FTA for power generation.

Accelerate the identification of the causes of power generation equipment failures and support stable operation.

In the power generation industry, stable operation of equipment is essential, and downtime due to failures can lead to significant losses. Particularly with complex equipment, identifying the cause of a failure can take time, and delays in response can result in further damage or prolonged outages. AI-FTA enables rapid responses by integrating on-site data and assisting in narrowing down the causes of failures. 【Usage Scenarios】 - Power plants - Major equipment such as turbines, boilers, and generators - Identifying causes during failure occurrences 【Benefits of Implementation】 - Reduction in time to identify failure causes - Decrease in the risk of equipment downtime - Assetization of trouble response history

  • boiler
  • prediction

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AI Demand Forecasting Deep Predictor for Food and Beverage

AI Demand Forecasting Deep Predictor for Food and Beverage

We will streamline the ordering process for ingredients and reduce food waste.

In the food service industry, demand forecasting for ingredients is essential for cost reduction and improving customer satisfaction. In particular, accurate forecasts are required to address the fluctuating demand caused by daily menus, events, and seasonal factors. Low accuracy in demand forecasting can lead to food waste due to excessive ingredient orders or decreased customer satisfaction due to stockouts. Deep Predictor was developed to solve these challenges. 【Usage Scenarios】 - Ingredient ordering operations - Demand forecasting by menu - Inventory management 【Benefits of Implementation】 - Reduction of food waste - Optimization of ingredient costs - Reduction of ordering workload

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  • Software (middle, driver, security, etc.)
  • Other operation management software
  • prediction

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AI Demand Forecasting Deep Predictor for Wholesale Industry

AI Demand Forecasting Deep Predictor for Wholesale Industry

Achieving delivery efficiency with AI! A demand forecasting service that can be used by on-site personnel.

In the wholesale industry, variations in order quantities by client and demand fluctuations due to seasonal factors pose significant challenges in maintaining optimal inventory levels. Inadequate demand forecasting can lead to lost sales opportunities due to stockouts, as well as increased storage costs and waste losses from excess inventory. AI predictive analysis Deep Predictor conducts highly accurate demand forecasting based on past sales data and transaction trends, supporting the optimization of inventory, ordering, and sales planning in the wholesale sector. 【Use Cases】 - Demand forecasting by product and client - Calculation of optimal inventory and order quantities - Improvement of accuracy in sales and purchasing plans 【Benefits of Implementation】 - Reduction of stockouts and excess inventory - Improvement of inventory turnover rates - Enhancement of profit margins and cash flow

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  • Software (middle, driver, security, etc.)
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【Effects of Introducing Deep Predictor】Sales Forecast for New Store Openings

【Effects of Introducing Deep Predictor】Sales Forecast for New Store Openings

Accurately predict sales after new store openings to avoid withdrawal risks. Accelerate decision-making based on data-driven evidence.

One of the challenges that our no-code AI predictive analytics service "Deep Predictor" addresses is the "sales forecast for new store openings." By taking into account many factors such as past property data, market area data, seasonality, and the number of surrounding competitors, it enables more data-driven predictions. Additionally, through AI analysis, it can uncover relationships between sales and demographics, helping to identify factors for successful store openings and discover new hypotheses for store opening strategies. 【Required Data】 ■ Property Data ■ Market Area Data ■ Seasonality ■ Competitor Data *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
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Trends and Predictions of Smart Devices

Trends and Predictions of Smart Devices

Analyzing the latest smart devices in the fields of wearables, robotics, and vehicles!

The market research report "Smart Devices: Trends and Forecasts" by the French market research company IDATE analyzes the latest smart devices, focusing on wearables, robotics, and vehicles, and predicts future trends. ＿＿＿＿＿＿ Main Topics ￣￣￣￣￣￣ What are the devices of the future? What devices will drive 5G? Future devices Dynamics and trends post-2022 Cross-section analysis New priority issues Growing sectors 【Report Details】 Smart Devices - Trends and Forecasts Smart devices - Features and trends https://www.dri.co.jp/auto/report/idate/230928-smart-devices-features.html

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[English Research Report] 5-Year Forecast for Ethernet Switches for Data Centers

[English Research Report] 5-Year Forecast for Ethernet Switches for Data Centers

Comprehensive forecast of market trends for Ethernet switches for data centers.

The "Data Center Ethernet Switch - 5-Year Forecast Report" by Dell’Oro Group provides a comprehensive forecast of market trends in the data center Ethernet switch market. It includes analysis and data on revenue by customer type, as well as the following individual reports: - Analysis and data on revenue by customer type - Top 4 cloud service providers in the United States - Top 3 cloud service providers in China - Telecom service providers - Other clouds - Large enterprises or private clouds - Other companies This forecast report offers a comprehensive overview of market trends and includes tables covering manufacturers' revenue, port shipment volumes, and average selling price forecasts for various technologies.

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[English Research Report] Ethernet Adapters and Smart NIC 5-Year Forecast

[English Research Report] Ethernet Adapters and Smart NIC 5-Year Forecast

The Ethernet adapter and smart NIC market is expected to exceed 16 billion dollars by 2028.

The Dell’Oro Group's "Ethernet Adapter and Smart NIC 5-Year Forecast Report" includes historical data on Ethernet adapters and Smart NICs from 2006 to the present, along with an overview of the market. It provides a table showing the revenue of Ethernet controller and adapter manufacturers, average selling prices, unit numbers, and port shipments by speed (1/10/25/40/50/100/200/400/800 Gbps), offering a comprehensive and detailed analysis of the market. This report also covers Smart NIC controllers and adapters.

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[English Research Report] Broadband Access and Home Network 5-Year Forecast

[English Research Report] Broadband Access and Home Network 5-Year Forecast

Broadband equipment spending increased for two consecutive quarters, up 5% year-on-year.

The "Quarterly Report on Broadband Access and Home Networking" by Dell'Oro Group provides a comprehensive overview of the broadband access market, featuring a table that covers sales by manufacturer, average selling prices, and port/unit shipment volumes for cable, DSL, and PON equipment. The targeted equipment includes Converged Cable Access Platforms (CCAP) and Distributed Access Architecture (DAA), Digital Subscriber Line Access Multiplexers (DSLAM) with technology-specific VDSL, VDSL Profile 35b, G.FAST, PON Optical Line Terminals (OLT), cable, DSL, PON CPE (customer premises equipment), Fixed Wireless Access (FWA) CPE, and residential WLAN equipment including mesh routers.

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